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1.In information theory Shannon entropy is defined by H(x) = -Sum(P(x)*log(P(x)) where P is probability mass function of random variable x, and log to base

1.In information theory Shannon entropy is defined by H(x) = -Sum(P(x)*log(P(x)) where P is probability mass function of random variable x, and log to base 2. Given loaded die with P(6)=0.5 and P(1)=P(2)=P(3)=P(4)=P(5), compute entropy of observed rolls 654266.Note: To answer the question you do not need to know any more information about Shannon entropy.

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